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The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
SQOR is not prognostic in Colon Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
102.9
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
343.9
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
248.7
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
244.0
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
234.4
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
229.9
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
225.8
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
223.7
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
223.0
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
217.0
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
209.4
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
198.2
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
198.0
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
195.8
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
191.5
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
190.4
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
189.3
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
187.5
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
185.2
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
184.8
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
183.4
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
179.7
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
176.8
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
176.7
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
176.1
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
175.2
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
172.6
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
171.9
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
170.9
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
168.4
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
164.6
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
162.3
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
161.7
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
160.9
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
160.5
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
160.1
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
156.9
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
154.9
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
154.1
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
153.2
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
152.3
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
151.3
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
148.2
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
147.7
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
147.5
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
145.6
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
145.0
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
141.8
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
140.7
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
139.2
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
138.6
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
138.2
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
137.5
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
137.2
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
136.9
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
136.8
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
136.7
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
136.5
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
136.4
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
136.3
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
134.4
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
134.0
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
134.0
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
133.2
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
133.0
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
132.3
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
132.2
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
131.8
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
130.7
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
130.6
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
130.4
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
130.2
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
128.1
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
127.3
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
126.6
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
126.4
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
124.6
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
123.3
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
118.4
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
117.8
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
117.8
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
117.5
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
117.2
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
117.1
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
117.0
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
116.5
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
116.0
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
112.6
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
112.3
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
111.7
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
110.6
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
110.3
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
110.1
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
108.9
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
108.9
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
108.7
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
106.8
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
105.9
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
105.6
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
105.1
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
104.1
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
102.8
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
101.9
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
101.4
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
101.4
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
101.0
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
99.2
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
99.1
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
99.1
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
99.1
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
98.6
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
96.6
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
96.2
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
96.2
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
96.1
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
96.0
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
95.8
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
95.7
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
93.1
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
92.9
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
91.8
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
91.7
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
91.6
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
91.5
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
91.2
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
91.0
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
90.9
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
90.8
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
90.6
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
90.3
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
90.3
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
90.0
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
89.3
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
88.9
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
88.6
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
88.3
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
87.8
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
87.2
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
86.7
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
86.4
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
85.4
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
85.1
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
84.9
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
84.3
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
83.8
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
82.9
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
82.8
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
82.2
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
82.1
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
82.0
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
81.6
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
81.3
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
81.1
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
80.8
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
80.4
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
80.1
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
80.1
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
80.0
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
79.5
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
79.4
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
78.9
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
78.8
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
78.7
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
77.5
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
77.4
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
77.2
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
76.8
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
76.4
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
76.4
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
76.2
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
76.1
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
75.5
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
74.8
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
74.3
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
74.3
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
74.0
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
73.6
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
73.4
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
73.1
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
72.8
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
71.8
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
71.6
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
71.4
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
70.8
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
70.2
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
70.1
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
69.7
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
69.5
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
69.5
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
69.5
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
68.6
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
68.1
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
67.8
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
67.5
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
67.4
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
65.7
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
65.7
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
64.6
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
63.9
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
63.6
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
63.1
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
62.6
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
62.6
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
62.6
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
62.5
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
61.6
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
61.5
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
60.4
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
60.3
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
60.3
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
60.3
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
58.2
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
58.1
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
56.9
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
56.9
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
56.8
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
56.2
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
56.1
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
55.6
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
54.7
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
54.7
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
54.4
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
52.3
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
52.3
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
51.4
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
51.3
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
51.2
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
50.6
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
50.4
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
50.3
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
49.8
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
49.2
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
49.2
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
49.0
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
48.5
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
47.9
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
47.1
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
46.8
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
46.6
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
44.8
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
44.8
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
44.7
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
43.6
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
43.5
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
42.3
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
41.3
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
39.5
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
38.8
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
37.8
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
37.6
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
37.3
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
35.7
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
33.1
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
27.6
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
SQOR is not prognostic in Colon Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
90.8
Number of samples
486
Samples
Sample
Description
TPM
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
276.7
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
236.3
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
226.5
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
224.9
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
211.3
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
207.6
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
206.9
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
196.7
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
196.4
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
188.9
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
178.1
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
175.7
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
175.6
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
172.7
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
171.9
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
170.3
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
166.6
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
166.4
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
165.2
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
163.9
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
161.4
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
160.1
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
159.6
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
158.8
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
157.1
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
156.8
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
153.8
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
152.9
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
152.6
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
150.9
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
150.9
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
150.2
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
148.2
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
148.0
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
147.9
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
147.7
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
147.6
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
146.7
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
146.5
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
146.1
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
145.0
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
144.4
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
144.0
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
141.9
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
140.8
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
139.8
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
138.7
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
137.5
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
137.1
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
137.0
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
136.6
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
135.9
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
135.6
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
135.4
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
135.2
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
135.1
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
134.9
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
133.3
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
132.5
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
131.7
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
131.6
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
130.9
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
130.1
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
129.9
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
129.7
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
128.4
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
128.3
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
127.6
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
126.7
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
126.7
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
126.6
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
126.1
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
125.8
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
125.7
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
124.9
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
124.1
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
124.1
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
123.8
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
123.7
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
123.4
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
123.0
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
122.3
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
121.9
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
121.1
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
121.0
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
119.8
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
119.7
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
119.5
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
119.3
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
118.5
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
118.4
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
118.3
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
118.2
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
117.8
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
117.7
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
117.7
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
117.6
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
117.5
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
116.9
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
116.7
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
116.6
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
116.5
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
116.4
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
116.0
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
115.7
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
115.4
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
115.4
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
115.3
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
114.9
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
114.7
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
114.7
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
114.4
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
114.1
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
114.1
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
114.1
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
114.0
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
113.0
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
112.7
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
112.2
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
111.9
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
111.7
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
111.3
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
111.0
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
111.0
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
111.0
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
110.9
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
110.8
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
110.7
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
110.4
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
110.0
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
109.9
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
109.6
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
109.3
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
109.3
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
109.3
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
109.1
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
108.9
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
108.7
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
108.6
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
108.5
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
108.2
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
108.2
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
107.9
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
107.9
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
107.3
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
106.5
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
106.4
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
106.4
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
106.1
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
105.8
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
105.4
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
105.2
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
105.1
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
105.0
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
104.6
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
104.4
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
104.3
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
104.1
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
104.0
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
104.0
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
103.9
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
103.9
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
103.8
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
103.7
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
103.6
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
103.5
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
103.3
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
103.1
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
102.6
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
102.6
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
102.2
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
101.9
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
101.5
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
101.4
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
101.3
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
101.2
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
101.1
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
101.0
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
100.9
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
100.9
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
100.8
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
100.8
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
100.3
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
99.7
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
99.7
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
99.2
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
99.1
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
98.8
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
98.7
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
98.5
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
98.1
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
98.0
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
97.8
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
97.2
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
96.9
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
96.5
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
96.4
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
96.3
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
96.3
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
96.1
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
95.3
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
95.1
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
94.8
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
94.8
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
94.8
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
94.7
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
94.6
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
94.5
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
94.5
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
94.5
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
94.2
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
94.1
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
93.8
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
93.2
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
93.1
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
93.1
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
92.9
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
92.7
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
92.5
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
91.7
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
91.7
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
91.5
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
91.2
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
91.2
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
90.6
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
90.6
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
90.0
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
90.0
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
89.9
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
89.8
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
89.7
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
89.7
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
88.8
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
88.6
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
88.6
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
88.2
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
87.9
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
87.8
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
86.6
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
86.6
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
86.4
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
86.4
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
86.2
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
85.9
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
85.7
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
85.7
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
85.5
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
84.8
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
84.4
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
83.8
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
83.8
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
83.8
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
83.6
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
83.5
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
83.4
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
83.4
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
83.3
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
83.2
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
83.1
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
83.1
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
83.1
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
83.0
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
82.8
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
82.7
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
82.7
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
82.6
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
82.5
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
82.5
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
82.4
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
82.3
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
81.7
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
81.7
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
81.6
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
81.6
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
81.6
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
81.5
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
81.0
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
80.9
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
80.8
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
80.8
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
80.6
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
80.4
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
80.4
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
80.1
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
80.0
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
79.6
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
79.5
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
79.0
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
78.9
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
78.7
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
78.7
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
78.4
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
78.3
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
78.2
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
77.7
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
77.5
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
77.4
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
76.6
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
76.1
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
76.0
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
75.8
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
75.7
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
75.6
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
75.3
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
75.2
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
75.0
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
74.8
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
74.5
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
74.4
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
73.2
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
73.2
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
73.1
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
72.9
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
72.9
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
72.7
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
72.6
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
72.3
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
71.9
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
71.9
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
71.1
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
70.8
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
70.5
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
70.5
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
70.2
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
70.2
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
70.1
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
69.9
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
69.8
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
69.7
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
69.7
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
69.5
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
68.4
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
68.2
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
68.0
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
67.9
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
67.8
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
67.7
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
67.6
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
67.4
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
67.4
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
67.2
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
67.0
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
66.9
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
66.6
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
66.2
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
66.2
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
66.1
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
65.7
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
65.5
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
65.4
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
65.4
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
65.2
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
64.9
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
64.8
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
64.4
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
64.3
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
64.3
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
64.3
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
64.2
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
64.2
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
63.9
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
63.6
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
63.5
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
63.4
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
63.3
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
62.8
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
62.5
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
62.4
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
62.3
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
62.1
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
62.1
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
62.0
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
61.7
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
61.6
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
61.0
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
60.6
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
60.3
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
59.6
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
59.5
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
59.1
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
59.1
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
59.1
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
58.9
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
58.9
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
58.9
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
58.8
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
58.8
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
58.5
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
58.3
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
58.3
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
58.2
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
58.0
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
58.0
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
58.0
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
57.9
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
57.7
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
57.5
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
57.4
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
57.0
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
56.7
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
56.5
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
56.4
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
56.3
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
56.1
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
56.0
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
55.8
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
55.5
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
55.2
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
55.1
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
54.8
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
54.7
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
54.6
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
54.2
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
53.8
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
53.7
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
53.5
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
53.5
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
53.3
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
53.3
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
53.2
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
52.8
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
52.6
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
52.6
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
52.5
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
52.5
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
52.4
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
52.0
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
51.9
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
50.8
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
50.5
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
50.3
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
50.2
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
50.1
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
49.5
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
49.2
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
48.9
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
48.7
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
48.7
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
48.2
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
48.2
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
47.5
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
47.3
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
47.3
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
47.1
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
47.0
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
46.9
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
46.8
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
46.4
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
46.1
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
45.9
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
45.2
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
45.2
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
44.8
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
44.0
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
43.1
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
42.1
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
41.2
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
40.9
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
40.9
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
39.4
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
38.8
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
38.4
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
38.3
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
38.2
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
37.8
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
37.5
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
37.5
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
37.3
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
37.3
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
36.5
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
36.3
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
35.8
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
35.2
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
34.6
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
34.4
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
34.3
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
34.0
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
32.9
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
29.7
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
25.4
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
24.1
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
21.9
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
19.5
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
18.6
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.8
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
SQOR is not prognostic in Rectum Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
86.6
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
197.4
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
196.6
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
175.5
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
166.9
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
161.9
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
160.7
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
160.6
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
149.2
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
137.5
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
135.7
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
134.0
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
133.6
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
131.5
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
129.9
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
127.7
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
124.5
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
124.2
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
123.6
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
120.7
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
115.3
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
114.7
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
112.2
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
107.7
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
104.9
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
104.6
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
103.2
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
101.3
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
99.6
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
97.7
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
97.0
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
96.5
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
94.7
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
93.8
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
92.7
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
91.8
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
90.3
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
89.6
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
88.6
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
88.2
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
86.7
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
86.4
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
85.5
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
81.7
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
81.7
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
79.1
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
79.0
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
78.0
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
77.3
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
77.1
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
76.8
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
76.6
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
73.9
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
73.3
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
73.1
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
72.2
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
72.1
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
71.7
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
69.7
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
68.3
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
66.9
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
62.9
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
61.9
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
61.7
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
60.2
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
57.5
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
57.0
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
54.8
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
54.8
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
52.4
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
51.7
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
51.6
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
51.1
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
51.0
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
49.9
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
47.8
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
47.3
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
46.1
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
43.1
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
42.3
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
37.9
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
37.2
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
33.9
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
33.3
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
30.1
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
25.3
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
18.8
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
15.3
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
SQOR is not prognostic in Rectum Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
75.7
Number of samples
207
Samples
Sample
Description
TPM
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
179.8
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
175.4
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
152.3
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
144.4
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
143.3
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
140.9
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
139.4
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
139.3
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
138.2
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
138.1
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
137.8
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
137.7
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
135.6
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
133.4
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
130.0
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
128.8
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
125.5
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
125.4
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
124.3
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
123.5
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
121.6
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
119.2
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
119.1
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
116.7
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
116.0
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
112.3
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
111.8
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
110.5
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
110.4
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
110.4
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
109.3
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
107.2
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
105.5
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
105.3
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
103.0
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
101.2
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
99.2
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
99.2
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
98.6
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
98.6
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
97.3
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
96.9
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
96.5
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
96.4
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
96.0
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
95.2
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
94.7
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
94.6
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
93.5
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
93.1
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
92.3
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
91.0
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
91.0
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
90.9
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
90.9
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
90.9
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
90.1
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
90.1
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
89.7
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
89.2
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
89.1
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
88.8
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
87.5
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
87.3
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
86.8
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
86.5
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
86.4
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
86.4
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
86.0
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
85.9
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
85.4
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
85.4
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
85.1
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
84.8
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
84.6
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
84.3
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
83.9
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
83.1
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
82.8
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
82.7
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
82.6
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
81.6
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
81.5
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
80.6
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
80.6
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
79.9
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
79.9
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
79.9
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
79.3
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
79.0
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
78.7
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
78.6
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
77.7
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
77.6
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
76.0
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
76.0
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
75.1
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
74.9
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
74.9
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
74.9
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
74.9
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
74.6
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
74.6
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
73.4
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
73.3
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
73.3
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
72.8
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
72.6
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
72.2
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
71.8
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
69.3
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
69.2
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
68.9
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
68.4
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
68.1
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
67.6
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
66.5
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
66.0
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
65.8
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
65.5
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
65.5
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
65.4
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
64.6
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
64.2
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
62.9
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
62.4
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
62.3
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
61.6
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
61.3
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
61.3
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
61.2
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
60.8
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
60.5
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
59.8
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
59.6
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
58.7
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
58.5
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
58.5
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
58.4
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
58.3
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
58.3
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
58.1
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
57.5
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
57.2
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
57.1
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
56.5
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
56.3
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
56.3
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
55.8
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
55.7
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
55.6
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
55.4
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
55.4
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
55.0
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
54.9
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
54.4
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
54.4
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
54.0
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
53.4
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
53.3
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
53.2
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
53.0
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
52.4
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
52.4
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
51.8
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
50.9
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
50.7
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
48.2
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
48.0
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
46.4
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
46.3
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
46.0
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
46.0
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
45.6
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
45.0
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
44.3
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
43.8
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
43.2
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
41.9
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
41.9
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
41.9
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
41.9
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
41.7
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
40.9
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
39.0
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
38.6
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
37.9
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
37.4
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
36.9
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
36.5
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
36.5
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
36.3
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
35.4
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
32.7
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
31.7
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
30.5
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
28.9
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
26.4
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
25.0
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
24.9
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
24.7
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
24.6
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
23.4
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
23.2
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
22.4
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
22.2
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
20.8
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
1.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
1.1
8cc7e656-0152-4359-8566-0581c3
Tumor
1.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
1.0
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
1.0
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.8
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.8
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.8
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.7
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.7
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.7
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.7
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.7
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.7
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.7
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.7
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.7
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.6
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.6
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.6
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.6
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.6
b2400046-1d25-429d-a821-6040a6
Tumor
0.5
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.5
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.5
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.4
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.4
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.4
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.4
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.4
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.4
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.4
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.4
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.4
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.4
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.4
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.3
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.3
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.3
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.3
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.3
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.3
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.3
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.3
82157a70-12f1-4913-b548-d98881_D2
Normal
0.3
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.3
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.3
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.1
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.1
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.0
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.0
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.0
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.0
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.0
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.0
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.0
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.0
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.0
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.0
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.0
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.0
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.0
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.0
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.0
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.0
43192517-085e-450e-9481-0a6713_D3
Tumor
0.0
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.0
41a04113-2061-4923-bca5-da586c_D2
Normal
0.0
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.0
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.0
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.1
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.1
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.1
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.2
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.2
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.2
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.2
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.2
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.3
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.3
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.3
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.3
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.3
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.3
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.3
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.3
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.3
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.3
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.3
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.3
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.3
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.3
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.3
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.3
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.3
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.4
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.4
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.4
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.4
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.4
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.4
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.4
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.4
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.4
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.4
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.4
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.4
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.4
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.5
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.5
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.5
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.5
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.5
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.5
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.5
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.5
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.5
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.5
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.5
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.5
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.5
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.6
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.6
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.6
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.6
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.6
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.6
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.6
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.6
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.7
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.7
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.7
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.7
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.7
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.7
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.7
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.7
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.7
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.7
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.8
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.8
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.8
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.9
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.9
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.9
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.9
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.9
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.9
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-1.0
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.